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Position: Scientific Computing Associate - Machine Learning Engineer
Institution: Howard Hughes Medical Institute
Location: Chevy Chase, Maryland, United States
Duties: Segmentation and classification of biological structures; Develop tailored dimensionality-reduction techniques for comparative studies; Explainable AI for unbiased machine-discovery; Efficient processing of very large datasets
Requirements: M.S. or PhD in Computer Science, Bioinformatics, or related field; Experience with writing efficient code with Java or other JVM based languages; Familiarity with Python, other programming languages; Experience with libraries such as Spark and ImgLib2 is a plus
   
Text: Skip to main content Scientific Computing Associate - Machine Learning Engineer Janelia Research Campus Apply Primary Work Address: 19700 Helix Drive, Ashburn, VA, 20147 Current HHMI Employees, click here to apply via your Workday account. Janelia Research Campus is a pioneering research center in Ashburn, Virginia, where scientists pursue fundamental questions in neuroscience and imaging. The Howard Hughes Medical Institute (HHMI) launched Janelia in 2006, establishing an intellectually distinctive environment for scientists to do creative, collaborative, hands-on work. Our integrated teams of biologists, computational scientists, and tool-builders pursue a small number of scientific questions with potential for transformative impact. We share our methods, results, and tools with the scientific community. It is a uniquely innovative and collaborative atmosphere that reflects HHMI’s reputation for excellence. Summary: The Scientific Computing Associate (SCA) position represents an alternative to the traditional postdoc and provides an ideal environment to establish a career in computational research or software engineering. The position aims at developing qualifications and experience in computational research and professional software engineering in a research environment that enables the candidate to pursue her/his future career in science or industry. We are looking for a talented and motivated computational scientist who is excited about the development and application of computer vision and machine learning methods to extract information from very large electron and light microscopy datasets produced by the CellMap team at Janelia (https://4dcpjanelia.org/about#cellmap). Project Goals: Segmentation and classification of biological structures Develop tailored dimensionality-reduction techniques for comparative studies Explainable AI for unbiased machine-discovery Efficient processing of very large datasets The developed software will be openly accessible and should be designed to be easy-to-use by developers as well as experimentalists. In this role, the candidate will work closely with experimentalists and microscopists who acquire large-volume light and electron microscopy datasets of cells and tissues, with other computational experts, and with experienced software engineers. The candidate will be jointly embedded in the CellMap team project and in Scientific Computing departments. The SCA position is a time-limited appointment for 12 to 24 months, with discretionary renewal for a final 12-month term (maximally 36 months in total). Education: M.S. or PhD in Computer Science, Bioinformatics, or related field Experience: Experience with writing efficient code with Java or other JVM based languages Familiarity with Python, other programming languages Experience with libraries such as Spark and ImgLib2 is a plus Ideally, you have a record of contributing to open source projects, so we can discuss code. If you do not meet all of the above criteria but you are convinced that you can compensate for this with enthusiasm, creativity, and practical experience, reach out to us and let's talk. For more information, email Stephan Preibisch and Aubrey Weigel at preibischs@janelia.hhmi.org / weigela@janelia.hhmi.org Physical Requirements: Remaining in a normal seated or standing position for extended periods of time; reaching and grasping by extending hand(s) or arm(s); dexterity to manipulate objects with fingers, for example using a keyboard; communication skills using the spoken word; ability to see and hear within normal parameters; ability to move about workspace. The position requires mobility, including the ability to move materials weighing up to several pounds (such as a laptop computer or tablet). Persons with disabilities may be able to perform the essential duties of this position with reasonable accommodation. Requests for reasonable accommodation will be evaluated on an individual basis. Please Note: This job description sets forth the job’s principal duties, responsibilities, and requirements; it should not be construed as an exhaustive statement, however. Unless they begin with the word “may,” the Essential Duties and Responsibilities described above are “essential functions” of the job, as defined by the Americans with Disabilities Act. HHMI is an Equal Opportunity Employer Apply Posted 30+ Days Ago Full time R-470 About Us Howard Hughes Medical Institute (HHMI) is an independent, ever-evolving philanthropy that supports basic biomedical scientists and educators with the potential for transformative impact. We make long-term investments in people, not just projects, because we believe in the power of individuals to make breakthroughs over time. Why HHMI To move science forward we need a diverse collection of talents, expertise, and backgrounds in scientific research and science education, as well as communications, finance, human resources, information technology, investments, law, and operations. At HHMI, we encourage collaborative and results-driven working styles and offer an adaptable environment where employees can do their best work. What makes us strong is the diversity of our perspectives. We work to promote a culture of inclusion in our work environments and across the greater scientific community. To find more information about us and the steps we're taking to make HHMI a more inclusive organization, visit our About Us page. A Note for Job Seekers Your best option for consideration in our career opportunities is to apply directly via our HHMI Careers site. There, you will learn more about HHMI and can find information about our available roles. Contact us at recruitingsupport@hhmi.org if you require an accommodation related to completing the job application. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. Follow Us HHMI Privacy Policy © 2021 Workday, Inc. 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